package com.atguigu.java.ai.langchain4j.config;

import com.atguigu.java.ai.langchain4j.store.MongoChatMemoryStore;
import dev.langchain4j.data.document.Document;
import dev.langchain4j.data.document.loader.FileSystemDocumentLoader;
import dev.langchain4j.data.segment.TextSegment;
import dev.langchain4j.memory.chat.ChatMemoryProvider;
import dev.langchain4j.memory.chat.MessageWindowChatMemory;
import dev.langchain4j.rag.content.retriever.ContentRetriever;
import dev.langchain4j.rag.content.retriever.EmbeddingStoreContentRetriever;
import dev.langchain4j.store.embedding.EmbeddingStoreIngestor;
import dev.langchain4j.store.embedding.inmemory.InMemoryEmbeddingStore;
import jakarta.annotation.Resource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import java.util.Arrays;
import java.util.List;

/**
 * Description:
 *
 * @author JourWon
 * @date Created on 2025/5/18
 */
@Configuration
public class XiaozhiAgentConfig {

    @Resource
    private MongoChatMemoryStore mongoChatMemoryStore;

    @Bean
    ChatMemoryProvider chatMemoryProviderXiaozhi() {
        return memoryId -> MessageWindowChatMemory.builder()
                .id(memoryId)
                .maxMessages(20)
                .chatMemoryStore(mongoChatMemoryStore)
                .build();
    }

    // @Bean
    // ContentRetriever contentRetrieverXiaozhi() {
    //     //使用FileSystemDocumentLoader读取指定目录下的知识库文档
    //     //并使用默认的文档解析器对文档进行解析
    //     Document document1 = FileSystemDocumentLoader.loadDocument("E:/knowledge/医院信息.md");
    //     Document document2 = FileSystemDocumentLoader.loadDocument("E:/knowledge/科室信息.md");
    //     Document document3 = FileSystemDocumentLoader.loadDocument("E:/knowledge/神经内科.md");
    //     List<Document> documents = Arrays.asList(document1, document2, document3);
    //
    //     //使用内存向量存储
    //     InMemoryEmbeddingStore<TextSegment> embeddingStore = new InMemoryEmbeddingStore<>();
    //     //使用默认的文档分割器
    //     EmbeddingStoreIngestor.ingest(documents, embeddingStore);
    //
    //     //从嵌入存储（EmbeddingStore）里检索和查询内容相关的信息
    //     return EmbeddingStoreContentRetriever.from(embeddingStore);
    // }
}
